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Nigerian defence-tech startup Terra Industries has raised an additional $18 million, bringing its seed funding to $52 million, to expand manufacturing and international deployment of its autonomous security systems. The …
A developer's AI trading advisor experienced a full provider outage at 1:38 AM, cycling through four LLM providers over 90 minutes. Despite every provider timing out or slowing, the system never missed a trade decision t…
A developer demonstrates how to build a privacy-first fitness AI using federated learning with Flower and PySyft, enabling calorie prediction without raw heart rate data leaving user devices. The tutorial outlines a coll…
The White House's new National Security Science and Technology Strategy, dated August 2026, names artificial intelligence and autonomy as a critical technology area but omits open-weight AI from its list of 12 subfields,…
Python's dominance in AI development in 2026 is reinforced by its mature ecosystem, including PyTorch and Scikit-learn, and its synergy with large language models that produce high-quality Python code. The language also …
Anthropic, OpenAI, and Google accused Chinese AI labs DeepSeek, Moonshot AI, MiniMax, and Alibaba of using distillation to clone their chatbots via millions of fake interactions. The White House confirmed the campaigns a…
MLectio, a new company founded by a veteran eHealth researcher, is launching a platform to license academic curricula and exams for AI training, aiming to replace the current "shadow extraction" of educational material b…
Researchers at Tel Aviv University introduced the Generative Cramér-Rao Bound (GCRB), a data-driven method that approximates the classical Cramér-Rao bound using deep generative models, eliminating the need for an analyt…
A 27B model trained to predict proof difficulty outperforms frontier general-purpose models on that task and, when optimized for a theorem-interestingness metric defined as the ratio of proof length to statement length, …
Dynamic programming, a principle introduced by Richard Bellman, underlies algorithms for shortest paths, neural network training, and context-free grammar parsing, as explained in a 25 June 2022 article. The piece illust…
Self-supervised learning is pushing robots to learn without labeled data, but a new analysis reveals that evaluation protocols for continual self-supervised learning (CSSL) are inconsistent, making it difficult to compar…
A new training method called replacement-aware training produces sparse auto-encoders (SAEs) that retain language capabilities when used in a full replacement model of Gemma-2-2B, unlike standard SAEs which cause catastr…
A study by the University of Cambridge's Faculty of Education, published in March 2026, found that generative-AI toys like Curio's Gabbo fail to engage in pretend play with children, instead declining invitations to part…
CausalSTeward (CAST), a multi-agent AI framework that integrates human expertise with machine intelligence, aims to improve causal model learning from high-dimensional data by partitioning variables into clusters and usi…
A Meta Oversight Board study released Thursday found that major AI chatbots, including those from Meta, Anthropic, and OpenAI, are more likely to refuse to generate political criticism of restrictive leaders or governmen…
Pangram Labs released Pangram 4 on July 29, 2026, a model that classifies text into human, AI-assisted, or AI-generated segments, moving beyond binary detection. Co-founders Max Spero and Bradley Emi also announced a res…
Extropic, a Boston-based hardware startup, is hiring junior ML scientists for its Thermo ML Resident program, offering a salary of $75,000–$200,000 per year for on-site work. Residents will collaborate with senior resear…
AI is impacting higher education, but historical tech shocks like the Internet, big data, and MOOCs have had limited transformative effects on core pedagogy, suggesting AI may follow a similar pattern of absorption rathe…
KDnuggets published a cheat sheet on Scikit-LLM, a library that wraps language models in the scikit-learn estimator API so they drop natively into a Pipeline or cross-validation loop. The cheat sheet covers estimators in…
A technique called model distillation, which uses outputs from powerful AI systems to train smaller, cheaper models, has become the latest flashpoint in the U.S.-China AI race, with Washington and leading U.S. AI firms a…